North Atlantic tropical storm seasonal forecast 2024

This forecast was issued on 01 August 2024 and supersedes the pre-season forecast issued in May 2024. Please see the link below for the pre-season forecast.

• Seasonal North Atlantic tropical storm forecast issued in May 2024

Forecast for the whole 2024 season

Issued 01 August 2024 

All values given below represent observed activity for the 6-month period from February to July 2024 plus the 6-month GloSea6 forecast activity from August 2024 to January 2025. Note, the official tropical storm season, which usually includes most activity, is from June-November.

The most likely number of named tropical storms (winds of at least 39 mph) predicted to occur in the North Atlantic is 18, with a 70% chance that the number will be in the range 13 to 23. The 1991-2020 long-term average is 14. 

The most likely number of hurricanes (winds of at least 74 mph) predicted to occur in the North Atlantic is 11, with a 70% chance that the number will be in the range 8 to 14. The 1991-2020 long-term average is 7. 

The most likely number of major hurricanes (winds of at least 111 mph) predicted to occur in the North Atlantic is 6, with a 70% chance that the number will be in the range 3 to 9. The 1991-2020 long-term average is 3.  

An ACE index of 227 is predicted as the most likely value, with a 70% chance that the index will be in the range 147 to 307. The 1991-2020 average is 123. 

Background

'Tropical cyclone' is the generic term for a low-pressure system over tropical or subtropical waters, with intense convective activity (e.g. thunderstorms) and winds circulating in an anticlockwise direction in the northern hemisphere (clockwise in the southern hemisphere). A tropical storm is a tropical cyclone with mean wind speeds of at least 39 mph. The terms hurricane and typhoon are region-specific names for strong tropical cyclones with wind speeds of at least 74 mph. For further details about tropical cyclones see Met Office tropical cyclone facts. 

The North Atlantic tropical storm season usually runs from June to November. The degree of activity over the whole season varies from year to year and is measured in several ways. 

• Total number of tropical storms. The number of named tropical cyclones with winds of at least 39 mph observed over the season. This is the best known measure of the level of storm activity. In this forecast the number of tropical storms also includes those that reach hurricane and major hurricane strength (see below). 

• Total number of hurricanes. The number of tropical cyclones that reach sustained winds of at least 74 mph. 

• Total number of major hurricanes. The number of tropical cyclones that reach sustained winds of at least 111 mph.  

• The Accumulated Cyclone Energy (ACE) index. A measure of the collective intensity and duration of all named tropical storms, hurricanes and major hurricanes during the season. 

The table below shows the number of tropical storms, hurricanes, major hurricanes and ACE index observed in recent years. 

North Atlantic tropical storm activity (June-November)

Year	Tropical storms	Hurricanes	Major hurricanes	ACE index
2014	8	6	2	67
2015	11	4	2	63
2016	15	7	4	141
2017	17	10	6	225
2018	15	8	2	129
2019	18	6	3	130
2020	30	13	7	180
2021	21	7	4	146
2022	15	8	2	97
2023	19	7	3	144

Historical Forecasts

At the start of each North Atlantic season the Met Office forecasts the number of tropical storms, hurricanes, major hurricanes and ACE index.  Seasonal forecasts of tropical storm activity have been issued annually since 2007. See our previous seasonal tropical storm forecasts issued in either May or June for 2007, 2008, 2009, 2010 , 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023.

Method

The forecast is made using information from the Met Office seasonal prediction system, GloSea6, which is an ensemble prediction system based on a fully coupled ocean-atmosphere general circulation model (GCM). This system simulates the ocean-atmosphere processes and interactions that determine tropical storm development. Multiple forecasts are made (using ensemble forecasting methods) to allow estimation of the range of likely outcomes.  The ensemble is then used to produce a best estimate (or most likely) predicted value (the ensemble mean) and forecast range (using the spread in the ensemble outcomes). Further details on the forecast method can be found in Camp et al. (2015). 

Skill

Recent studies have shown that dynamical models have considerable skill predicting the number of tropical storms - for example successfully predicting the change from the exceptionally active season of 2005 to the below-normal activity of the 2006 season. In 2017, the Met Office seasonal forecast system successfully predicted the above-average activity that was observed in the North Atlantic, including the high frequency of tropical cyclone tracks around the northeast Caribbean (Camp et al., 2018). Full details of the skill to predict tropical storm activity around the world has previously been documented by Camp et al. (2015) and for real-time forecasts in Klotzbach et al. (2019).  

Factors Influencing the Current Seasonal Forecast

There is a strong signal in our forecast for La Niña to develop and persist through the peak of the Atlantic hurricane season (August to October 2024). This results in a prediction of lower than normal vertical wind shear in the tropical North Atlantic and Caribbean Sea. When combined with a forecast of continued warmer than average sea-surface temperatures in the tropical North Atlantic, conditions appear very favourable for most likely well above average tropical storm activity in the North Atlantic, as seen in the 2024 forecast.

Stakeholders are advised to follow the advice and analysis of the official World Meteorological Organisation Regional Specialised Meteorological Centre for the Atlantic region, the US National Hurricane Center (NHC), during upcoming hurricane season. NHC provides forecasts for all active tropical cyclones and the likelihood of storm formation up to seven days ahead in the Atlantic based on a consensus from all major forecast centres.

References